Retina-Inspired Flexible Visual Synaptic Device for Dynamic Image Processing

被引:0
|
作者
Ji, Yuhang [1 ,2 ]
Meng, Yao [2 ]
Geng, Xueli [1 ]
Sun, Jiacheng [2 ]
Gao, Qin [1 ]
Yin, Hao [1 ]
Gao, Juan [1 ]
Wang, Ruzhi [3 ]
Wang, Mei [1 ]
Xiao, Zhisong [1 ]
Wang, Yuyan [2 ]
Huang, Anping [1 ]
机构
[1] Beihang Univ, Sch Phys, Beijing 100191, Peoples R China
[2] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
[3] Beijing Univ Technol, Inst New Energy Mat & Devices, Fac Mat & Mfg, Beijing 100124, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
nanowire; synaptic plasticity; neuromorphicvisual synaptic device; optoelectronic synapse; human visual system; PERSISTENT PHOTOCONDUCTIVITY; SYNAPSES;
D O I
10.1021/acsami.4c16378
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Exploiting biomimetic perception of invisible spectra in flexible artificial human vision systems (HVSs) is crucial for real-time dynamic information processing. Nevertheless, the fast processing of motion objects in natural environments poses a challenge, necessitating that these artificial HVSs simultaneously have swift photoresponse and nonvolatile memory. Here, inspired by the human retina, we propose a flexible UV neuromorphic visual synaptic device (NeuVSD) based on GaO x @GaN-composited nanowires for dynamic visual perception. Benefiting from the combined action of oxygen adsorption kinetics on the GaO x shell and photoelectronic excitation in the GaN core, the NeuVSD can achieve rapid photoresponse and long-term plasticity simultaneously, a feature that surpasses traditional devices based on persistent photoconductivity mechanisms. Beyond the optoelectronic synaptic plasticity, the flexible NeuVSD on the PET/PI substrate exhibits good performance stability after 1000 bending cycles, profiting from the high adaptability of nanowires. Furthermore, target recognition and motion detection with weak light intensities are achieved through the establishment of neuromorphic visual neural networks, relying on dynamic exposures and edge information processing, respectively. Real-time edge detection can still be realized under a 40% noise factor and effectively remove the noise background. The flexible NeuVSD array-based artificial visual system can enhance the capability of dynamic visual information processing in low-light and high-noise conditions, thereby fostering the evolution of in-sensor computing and artificial intelligence.
引用
收藏
页码:7948 / 7957
页数:10
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